Triple

T21765026
Position Surface form Disambiguated ID Type / Status
Subject Caerphilly railway station E537261 entity
Predicate stationCode P1289 FINISHED
Object CPH
CPH is the National Rail station code for Caerphilly railway station in Caerphilly, Wales.
 E1501537 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: CPH | Statement: [Caerphilly railway station, stationCode, CPH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CPH
Context triple: [Caerphilly railway station, stationCode, CPH]
  • A. CPH
    CPH is the commonly used abbreviation for Copenhagen Airports A/S, the company that operates Denmark’s main international airport serving Copenhagen.
  • B. CPH:DOX
    CPH:DOX is a major international documentary film festival held annually in Copenhagen, Denmark, known for showcasing innovative and politically engaged non-fiction cinema.
  • C. Copenhaver
    Copenhaver is a surname of likely English or German origin borne by various individuals, including Eleanor Copenhaver.
  • D. København H
    København H is Copenhagen’s central railway station and the main hub for regional, national, and S-train services in Denmark’s capital.
  • E. Copenhagen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CPH
Triple: [Caerphilly railway station, stationCode, CPH]
Generated description
CPH is the National Rail station code for Caerphilly railway station in Caerphilly, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CPH
Target entity description: CPH is the National Rail station code for Caerphilly railway station in Caerphilly, Wales.
  • A. CPH
    CPH is the commonly used abbreviation for Copenhagen Airports A/S, the company that operates Denmark’s main international airport serving Copenhagen.
  • B. CPH:DOX
    CPH:DOX is a major international documentary film festival held annually in Copenhagen, Denmark, known for showcasing innovative and politically engaged non-fiction cinema.
  • C. Copenhaver
    Copenhaver is a surname of likely English or German origin borne by various individuals, including Eleanor Copenhaver.
  • D. København H
    København H is Copenhagen’s central railway station and the main hub for regional, national, and S-train services in Denmark’s capital.
  • E. Copenhagen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031a9a08c8190bc0588ffa0f2da44 completed April 28, 2026, 4:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a3679c8f88190aaf068aa57ad4870 completed May 17, 2026, 9:43 p.m.
NEDg Description generation batch_6a0a3a85bd6081909ef95bf91b809413 completed May 17, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_6a0a3b6799008190839f2d2f50e85457 completed May 17, 2026, 10:04 p.m.
Created at: April 16, 2026, 6:51 p.m.